Designing and Building Complex Adaptive Systems

Designing and Building Complex Adaptive Systems

The use of algorithms, simulations, and pattern recognition-breaking-formation tools are a useful way to keep ahead in evolving markets.

Algorithms can preempt or even shape adaptive markets. Simulations build confidence in understanding which organizational levers are most appropriate as conditions change. Pattern recognition-breaking-formation tools can expedite an organization's pivot to a new reality.

But algorithms, simulations, and potential new patterns will be only so insightful as the mathematics that underlies it. Deep Order Technologies' (DOT) mathematics is based on years of R&D into the mathematics that drives innovation in Complex Adaptive Systems (CAS). The essential mathematical framework is summarized here and as the series of accompanying books enumerates, has driven order of magnitude innovation improvements in natural and human systems:

All DOT software, tools, and frameworks are driven by this deeper CAS mathematics.